@tossy-yossy @mtlouie-unm @franyoadam

[jia101728]

@tossy-yossy @mtlouie-unm @franyoadam
This issues have been fixed.
The cause was the positive-negative ratio of the detections.
I fixed the number of RPNs so that the postive-negative ratio will be about 1:3, as in other implementations. Please pull the newest version to activate this.

The training will be stable with using pretrained RPN models.

The pretrained RPN for VGG is uploaded to:
https://drive.google.com/file/d/1teuXIRN4mvmbnIfWlxAAM69hJEceTpUm/view?usp=sharing
The trained vgg frcnn model is uploaded (is underfitting..):
https://drive.google.com/file/d/1IgxPP0aI5pxyPHVSM2ZJjN1p9dtE4_64/view?usp=sharing

Here is the example command.

python train_frcnn.py --network vgg -p to/your/voc --load rpn-mode.pth

Originally posted by @kentaroy47 in #6 (comment)